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Variational Model for the Restoration of Clouds Corrupted Multispectral Satellite Optical Images 11

Variational Model for the Restoration of Clouds Corrupted Mu...

引用

11th ieee international conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Khanenko, Pavel Kogut, Peter Uvarov, Mykola EOS Data Analyt Ukraine Desyatynny Lane 5 UA-01001 Kiev Ukraine Max Planck Inst Chem Phys Solids D-01187 Dresden Germany Oles Honchar Dnipro Natl Univ Dept Differential Equat Gagarin Av 72 UA-49010 Dnipro Ukraine GV Kurdyumov Inst Met Phys Dept Computat Phys Kiev Ukraine

ISBN: (纸本)9781665426053

Sensitivity to weather conditions, and specially to clouds, is a severe limiting factor to the use of optical remote sensing for Earth monitoring applications. Typically, the optical satellite images are often corrupted because of poor weather conditions. As a rule, the measure of degradation of optical images is such that one can not rely even on the brightness inside of the damaged regions. As a result, some subdomains of such images become absolutely invisible. So, there is a great deal of missing information in optical remote sensing data. In this work, we propose a new variational approach for exact restoration of multi-spectral satellite optical images. We discuss the consistency of the proposed variational model, give the scheme for its regularization, derive the corresponding optimality system, and discuss the algorithm for the practical implementation of the reconstruction procedure. Experimental results are very promising and they show a significant gain over baseline methods using the reconstruction through linear interpolation between data available at temporally-close time instants.

关键词： restoration satellite images variational approach image processing

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Design of intelligent Guide Car

Design of Intelligent Guide Car

引用

2024 international conference on advanced Control systems and Automation Technologies, ACSAT 2024

作者： Tan, Jinhao Li, Jincan Chen, Zekai Li, Jiahui Zhujiang College South China Agricultural University School of Artificial Intelligence Guangzhou China

ISBN: (纸本)9798331541668

In order to provide more convenience and safety for visually impaired individuals, a smart guiding cart [1] has been designed. It uses the STM32F407ZGT6 microcontroller as the main control unit and employs an incremental PID algorithm to control [2] the movement and direction of the motors. UWB (Ultra-Wideband) technology is utilized to obtain the relative distance between the base station and the tags, enabling distance positioning between the person and the cart. Speech recognition technology facilitates interaction between the person and the cart, while ultrasonic distance measurement technology detects the position of obstacles and integrates it with the motor's movement logic to achieve obstacle avoidance. The combination of 4G network technology and GPS/Beidou navigation technology [3] allows for the transmission of location latitude and longitude information to the Gaode platform. The returned path information is then analyzed to realize the navigation function. Then, through software programming and hardware setup, the intelligent guiding vehicle will achieve functions such as person-following, language interaction [4], obstacle avoidance, and navigation. Finally, by recording relevant data and information from the testing projects, the vehicle will reach the expected functionality. The designed intelligent guiding vehicle will address some of the shortcomings of traditional guiding tools and pave the way for a new direction in the embedded industry. © 2024 ieee.

关键词： Radio navigation

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Investigation & Development of intelligent Controller to Navigate the Wheelchair Autonomous Robot

Investigation & Development of Intelligent Controller to Nav...

引用

2024 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Sivakumar, B.G. Hariharan, R. Mohanavel, V. Bharath Institute of Higher Education & Research Department of Mechanical Engineering Chennai India Bharath Institute of Higher Education & Research Chennai India

ISBN: (纸本)9798331543617

In this paper, we give a self-sufficient situating and route framework for stair climbing robotic wheelchair. Right off the bat, the working standard and stair climbing robot in our research center are portrayed especially. Besides, the self-governing situating and route framework is exhibited. In this framework, we propose a strategy is essentially helpful for impaired people who are enduring from Parkinson's ailment or physically incapacitated or loss of motion patients. These kinds of people can't move on their own. They generally rely upon different people. This proposed strategy is exceptionally helpful to disabled people, without relying upon different people, so these people are unreservedly move with possessing bearings. The third component of our work is the GPS (Global Positioning System) module, which collects data from satellites and determines the position data before sending it to the client's PC (of Navigation framework) or observers(of Tracking framework) utilizing remote innovation (GSM). It has an additional arrangement of a joystick for incapacitated people who can without much of a stretch move his/her hand. Electronic framework setup, a sensor framework, a mechanical model, voice acknowledgment control and joystick control are considered. At long last, the trial result in the stair climbing robotized robot indicates the attainability of the self-governing situating and route. © 2024 ieee.

关键词： Global positioning system

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Efficient data Access and Streamlined Retrieval: Enhancing Performance in Cloud-Based systems 2

Efficient Data Access and Streamlined Retrieval: Enhancing P...

引用

2nd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Prabakaran, K. Sivakumar, B. SRM Institute of Science and Technology Department of Computing Technologies Kattankulathur India

ISBN: (纸本)9798350327533

Accessing data from cloud storage has become an essential part of information management since it simplifies data retrieval and manipulation. However, along with this ease comes possible latency problems and the requirement for quick data retrieval mechanisms. To improve user interactions with a data repository, this work presents a comprehensive system architecture. Specifically, performance evaluation utilizing the 'Global Organization Repository (GOR)' and the 'Retail Sales Benchmark dataset' is the main focus of this research. The Query Transformation Layer is crucial since it translates user-input SQL queries into HiveQL, facilitating effective communication with the Hive data Repository Layer. The purpose of this layer is to simplify the intricacies of HiveQ Land also utilize a technique for parsing and translating queries. Assessment of the Hive framework highlights difficulties in retrieving data and user satisfaction. The existence of diverse datasets, such as GOR, highlights the necessity for precise query translation. The research improves system performance by addressing the problems and proposing contemporary techniques. The objectives are to improve the Query Transformation Layer to make it more user-friendly, reduce the difficulty in learning HiveQL, and optimize data retrieval for different types of datasets. © 2024 ieee.

关键词： Cloud-Based data Storage Hive Pig Query Translation Layer Spark User Interface (UI) Layer

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Performance Analysis of Scalable Pilot Assignment Schemes for Cell-Free Massive MIMO systems 5

Performance Analysis of Scalable Pilot Assignment Schemes fo...

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5th ieee international conference on Power, intelligent computing and systems, ICPICS 2023

作者： Hou, Yaoting Ye, Haowen Wang, Yanqi Sun, Kai School of Electronic Information Engineering Inner Mongolia University Hohhot China

ISBN: (纸本)9798350333442

Cell-free massive multiple-input multiple-output (CF-mMIMO) systems can accommodate the stricter quality-of-service (QoS) and higher data rates required by beyond-5G communications. Scalable cell-free networks are in higher demand as access users grow in number. At present, scalable pilot assignment schemes suitable for general access have been proposed, but whether they can achieve scalable massive access is still a question worth exploring. Therefore, we discuss the computational complexity and performance of three existing scalable pilot assignment schemes for both general access and massive access using maximum ratio (MR) combining. The simulation results show that the Scalable scheme outperforms the others in both throughput and normalized mean square error (NMSE) for the two access situations. © 2023 ieee.

关键词： MIMO systems

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Development of a Solar-Powered Small Autonomous Water Surface Vehicle 2

Development of a Solar-Powered Small Autonomous Water Surfac...

引用

2nd international conference on intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Manjunath, P. S. Ramesh, M. Reddy, T. Om Prakash Manjunath, M. Rupesh, M. Venkata Sai Sathya Chinnathampy, Suresh M. Kalasalingam Acad Res & Educ Dept Elect & Commun Madurai Tamil Nadu India Vel Tech High Tech Dr Rangarajan Dr Sakunthala En Dept Elect & Commun Chennai Tamil Nadu India

ISBN: (纸本)9798331540661;9798331540678

This Autonomous Water Surface Vehicle (ASV) offer insightful information on the condition of aquatic ecosystems, which helps with early pollution event detection and well-informed resource management and remediation strategy decision-making. Additionally, ASVs use the Internet of Things (IoT) to improve connection and functionality. ASVs may provide real-time data on location, waste detection, and water quality to centralized databases and user interfaces by integrating IoT platforms like ThingSpeak and apps like Blynk. Stakeholders are able to successfully reduce water pollution by implementing targeted actions, coordinating response activities, and monitoring environmental conditions remotely thanks to the smooth data integrationand communication. The vehicle's sensors collect data on water quality, which is then easily transferred to the Thingspeak cloud platform for thorough real-time monitoring and analysis. Furthermore, the Blynk IoT application integrates GPS data to allow for real-time tracking of the vehicle's whereabouts. This research study makes a significant contribution to reduce water pollution and improve the health of aquatic ecosystems by demonstrating the potential of integrating advanced technologies and providing a scalable and sustainable solution for autonomous garbage collection and environmental monitoring on water surfaces.

关键词： Autonomous surface vehicle (ASV) Garbage collection Water pollution Image processing GPS navigation Solar power Blynk IoT Sustainability Environmental monitoring Real-time data analysis Aquatic ecosystem health

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Machine Learning Approaches for Brinjal Leaf Disease Detection 2

Machine Learning Approaches for Brinjal Leaf Disease Detecti...

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2nd international conference on Sustainable computing and data Communication systems, ICSCDS 2023

作者： Syed, Simrin Fathima Phonsa, Gurbakash Lovely Professional University School of Cse Punjab Phagwara India

ISBN: (纸本)9781665491990

Agriculture is the main source of income for many people in India. But day by day the degradation of the quality of agriculture is exposed by several diseases. The Brinjal Leaves are exposed to various diseases. This study intends to predict the brinjal leaf disease at its early stage. This study reviews the machine-learning approaches used in the disease prediction process. After performing a comparative analysis, a novel methodology is proposed. The proposed approach is developed by considering VGG16, KNN, AdaBoost Classifier, Naïve Bayes, Decision Tree, and SVM models. © 2023 ieee.

关键词： Image acquisition

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Recurrent Neural Network-Based Lossless data Compression

Recurrent Neural Network-Based Lossless Data Compression

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2024 international conference on intelligent systems for Cybersecurity, ISCS 2024

作者： Muralidharan, Pranathi Sai, Bandi Guru Mukunda, Konda Kuresan, Harisudha SRM Institute of Science and Technology Department of Electronics and Communication Engineering Tamilnadu Kattankulathur603203 India

ISBN: (纸本)9798350375237

In the digital era, the exponential growth of image data across various sectors, including medical imaging, satellite imagery, and digital archives, necessitates advanced solutions for efficient storage and transmission. JPEG (Joint Photographic Experts Group), one of the most ubiquitous image compression standards, plays a pivotal role in managing digital image data. However, its lossy nature, which compromises image integrity for the sake of compression, is unsuitable for applications requiring precise image reproduction. This project explores the potential of Recurrent Neural Networks (RNNs) to achieve lossless compression of JPEG images, aiming to retain image quality while reducing file size significantly. This study explores the application of RNNs for efficient image compression, aiming to leverage the temporal dependency modelling capabilities of RNNs to maintain high image quality while achieving significant reductions in file size. Traditional image compression techniques often struggle to balance compression ratio and image fidelity, especially in contexts requiring real-time processing and transmission. RNNs, known for their proficiency in handling sequential data, offer a novel approach to image compression by treating image pixels as a sequence achieved an accuracy of 95.83% when compared to CNN. This perspective allows for more sophisticated pattern recognition and prediction, potentially surpassing the limitations of conventional methods. © 2024 ieee.

关键词： Image compression

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IoT Applications in Economic data Collection and Analysis

IoT Applications in Economic Data Collection and Analysis

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2024 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Kumar, Brajesh Krupanandhan, H. Gautarm, Sharad Das, Ajanta Nargiza, Shaymatova Rao, D.N. Murali Krishna Dr. Apj Abdul Kalam Women's Institute of Technology Department of Computer Science & Engineering Bihar Darbhanga India School of Commerce Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Chennai600 062 India Graphic Era Hill University Haldwani Campus India Government Model Degree College Baghbar India Termez State University The Department of Accounting and Auditing Termez Uzbekistan Jntuh Hyderabad India

ISBN: (纸本)9798331543617

The process of collecting and interpreting lucrative data has transformed because of the adoption of technology related to the Internet of Things (IoT). This is because real-time data and perceptivity can now be experienced in ways that were before impractical thanks to modern technologies. This endeavor aims to examine the impact that Internet of Things operations have on lucrative data operations. More specifically, there is a lot of interest in how detector-driven data collecting improves the accuracy, timeliness, and granularity of profitable points of information. This inquiry uses case studies and empirical data to show how the Internet of Things (IoT) has revolutionizedseveral industries, including manufacturing, retail, and municipal planning. This research has been used to demonstrate these consequences. This article aims to investigate the role that the Internet of Things plays in enhancing data accuracy, enabling predictive analytics, and streamlining the process of making informed decisions. Furthermore, the research explores issues that have similarities to the previous discussions, including the need for a robust framework, integration obstacles, and data sequestration. The results highlight how the Internet of Things may be used to improve profitable soothsaying, optimize resource allocation, and foster innovation. © 2024 ieee.

关键词： data accuracy

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Smart Product Packing and IoT Marketing: Enhancing Customer Interaction

Smart Product Packing and IoT Marketing: Enhancing Customer ...

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2023 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Soundarraj, Premlatha Aarif, Mohd Gangadharan, S. Naqvi, Syed Rizwan Assihalaf, Noor Kareem Salih Mahdi, Ahmed Christ University Pune School of Business & Management Maharashtra Pune412112 India CAG Study Center UP Noida India St. Joseph's College of Engineering Department of Management Studies Chennai India Amity University Department of Human Resource and Organizational Behaviour Amity Business School Up Noida India National University of Science and Technology DhiQar Iraq AL-Nisour University College Department of Medical Laboratories Technology Baghdad Iraq

ISBN: (纸本)9798350319200

The convergence of smart product packaging and IoT marketing has transformed commerce. This study examines the fundamental ramifications of convergence and its potential to improve customer engagement. Our research shows the transformational potential of these technologies via quantitative and qualitative *** packaging outperforms non-smart items, giving firms an advantage, according to quantitative data. Regression and correlation analysis confirm IoT data-customer interaction. Our study also emphasizes ethical data acquisition, which supports data privacy and consumer *** may expect personalized experiences, transparency, and real-time feedback from this technology transformation. Smart product packaging and IoT marketing enable readers to make educated decisions and influence product development to meet changing consumer *** research allows academics to study the ideas and models that affect consumer engagement. data privacy and consumer protection may inform IoT marketing and smart device packaging *** research guides organizations and customers towards better customer interactions, data-driven decision-making, and ethical data practices in this changing age. The future promises revolutionary customer contact. © 2023 ieee.

关键词： Competitive advantage Consumer empowerment Customer engagement Customer interaction data-driven decision-making Ethical considerations IoT marketing Quantitative analysis Smart product packaging Sustainability

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